Autonomous Sensing at the Edge

Migrating data processing tasks from the Cloud to Edge nodes are becoming standard practice. Such migration in-creases the complexity of system design and implementation. This paper introduces AES2F, an autonomous Edge-sensing software framework that seeks to resolve complexity and scalability issues. AES2F harnesses a microservice architecture; in particular, the framework is characterized by its communication, naming conventions, consistency, and fault-tolerance aspects. AES2F aggregates different kinds of data from diverse sources, for example, in-situ sensors, satellites, and legacy data. Such aggregation is a prerequisite for enabling intelligent decision support such as would be expected in Smart Agriculture. Experimental results show that AES2F can manage some inherent complexity and scalability issues common in dynamic environments.